1. Perceptron: The very basic entity in Machine Learning. It's training and weights update in code. 2. Image Aesthetic Assessment: Determining the aesthetic content of an image. The network defined use Spatial Pyramid Pooling. 3. Image Classification: Alexnet architecture in Keras for image classification. Find more here
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Perceptron: The very basic entity in Machine Learning. It's training and weights update in code. Find more here
Image Aesthetic Assessment: Determining the aesthetic content of an image. The network defined use Spatial Pyramid Pooling. Find more here
Image Classification: Alexnet architecture in Keras for image classification. Find more here
1. Perceptron: The very basic entity in Machine Learning. It's training and weights update in code. 2. Image Aesthetic Assessment: Determining the aesthetic content of an image. The network defined use Spatial Pyramid Pooling. 3. Image Classification: Alexnet architecture in Keras for image classification. Find more here
